15,367 research outputs found
Search of spoken documents retrieves well recognized transcripts
This paper presents a series of analyses and experiments on spoken
document retrieval systems: search engines that retrieve transcripts produced by
speech recognizers. Results show that transcripts that match queries well tend to
be recognized more accurately than transcripts that match a query less well.
This result was described in past literature, however, no study or explanation of
the effect has been provided until now. This paper provides such an analysis
showing a relationship between word error rate and query length. The paper
expands on past research by increasing the number of recognitions systems that
are tested as well as showing the effect in an operational speech retrieval
system. Potential future lines of enquiry are also described
Document expansion for image retrieval
Successful information retrieval requires e�ective matching
between the user's search request and the contents of relevant
documents. Often the request entered by a user may
not use the same topic relevant terms as the authors' of the
documents. One potential approach to address problems
of query-document term mismatch is document expansion
to include additional topically relevant indexing terms in a
document which may encourage its retrieval when relevant
to queries which do not match its original contents well. We
propose and evaluate a new document expansion method
using external resources. While results of previous research
have been inconclusive in determining the impact of document
expansion on retrieval e�ectiveness, our method is
shown to work e�ectively for text-based image retrieval of
short image annotation documents. Our approach uses the
Okapi query expansion algorithm as a method for document
expansion. We further show improved performance can be
achieved by using a \document reduction" approach to include
only the signi�cant terms in a document in the expansion
process. Our experiments on the WikipediaMM task at
ImageCLEF 2008 show an increase of 16.5% in mean average
precision (MAP) compared to a variation of Okapi BM25 retrieval
model. To compare document expansion with query
expansion, we also test query expansion from an external resource
which leads an improvement by 9.84% in MAP over
our baseline. Our conclusion is that the document expansion
with document reduction and in combination with query expansion
produces the overall best retrieval results for shortlength
document retrieval. For this image retrieval task, we
also concluded that query expansion from external resource
does not outperform the document expansion method
Speech and hand transcribed retrieval
This paper describes the issues and preliminary work involved
in the creation of an information retrieval system that will
manage the retrieval from collections composed of both speech
recognised and ordinary text documents. In previous work, it
has been shown that because of recognition errors, ordinary
documents are generally retrieved in preference to recognised
ones. Means of correcting or eliminating the observed bias is
the subject of this paper. Initial ideas and some preliminary
results are presented
Spoken content retrieval: A survey of techniques and technologies
Speech media, that is, digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or IR who are seeking deeper insight on how these fields are integrated to support research and development, thus addressing the core challenges of SCR
Overview of the CLEF-2005 cross-language speech retrieval track
The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata.
Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the
best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other
applications (with the best systems approximating monolingual mean average precision)
Vocal Access to a Newspaper Archive: Design Issues and Preliminary Investigation
This paper presents the design and the current prototype implementation of an
interactive vocal Information Retrieval system that can be used to access
articles of a large newspaper archive using a telephone. The results of
preliminary investigation into the feasibility of such a system are also
presented
Dublin City University at CLEF 2007: Cross-Language Speech Retrieval Experiments
The Dublin City University participation in the CLEF 2007 CL-SR English task concentrated primarily on issues of topic translation. Our retrieval system used the BM25F model and pseudo relevance feedback. Topics were translated into English using the Yahoo! BabelFish free online service combined with domain-specific translation lexicons gathered automatically from Wikipedia. We explored alternative topic translation methods using these resources. Our results indicate that extending machine translation tools using automatically generated domainspecific translation lexicons can provide improved CLIR effectiveness for this task
Access to recorded interviews: A research agenda
Recorded interviews form a rich basis for scholarly inquiry. Examples include oral histories, community memory projects, and interviews conducted for broadcast media. Emerging technologies offer the potential to radically transform the way in which recorded interviews are made accessible, but this vision will demand substantial investments from a broad range of research communities. This article reviews the present state of practice for making recorded interviews available and the state-of-the-art for key component technologies. A large number of important research issues are identified, and from that set of issues, a coherent research agenda is proposed
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